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VeloxCon 2024: Innovation in data management

April 30, 2024
in Blockchain
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VeloxCon 2024, the premier developer convention that’s devoted to the Velox open-source venture, introduced collectively trade leaders, engineers, and lovers to discover the newest developments and collaborative efforts shaping the way forward for information administration. Hosted by IBM® in partnership with Meta, VeloxCon showcased the newest innovation in Velox together with venture roadmap, Prestissimo (Presto-on-Velox), Gluten (Spark-on-Velox), {hardware} acceleration, and way more.

An summary of Velox

Velox is a unified execution engine that’s constructed and open-sourced by Meta, aimed toward accelerating information administration methods and streamlining their improvement. One of many greatest advantages of Velox is that it consolidates and unifies information administration methods so that you don’t must preserve rewriting the engine. At present Velox is in numerous phases of integration with a number of information methods together with Presto (Prestissimo), Spark (Gluten), PyTorch (TorchArrow), and Apache Arrow. You possibly can learn extra about why Velox was inbuilt Meta’s engineering weblog.

Velox at IBM

Presto is the engine for watsonx.information, IBM’s open information lakehouse platform. During the last 12 months, we’ve been working laborious on advancing Velox for Presto – Prestissimo – at IBM. Presto Java employees are being changed by a C++ course of primarily based on Velox. We now have a number of committers to the Prestissimo venture and proceed to companion intently with Meta as we work on constructing Presto 2.0.

A few of the key advantages of Prestissimo embrace:

Hugh efficiency enhance: question processing might be performed with a lot smaller clusters

No efficiency cliffs: no Java processes, JVM, or rubbish collections, as reminiscence arbitration improves effectivity

Simpler to construct and function at scale: Velox provides you reusable and extensible primitives throughout information engines (like Spark)

This 12 months, we plan to do much more with Prestissimo together with:

The Iceberg reader

Manufacturing readiness (metrics assortment with Prometheus)

New Velox system implementation

TPC-DS benchmark runs

VeloxCon 2024

We labored intently with Meta to arrange VeloxCon 2024, and it was a incredible neighborhood occasion. We heard audio system from Meta, IBM, Pinterest, Intel, Microsoft, and others share what they’re engaged on and their imaginative and prescient for Velox over two dynamic days.

Day 1 highlights

The convention kicked off with classes from Meta together with Amit Purohit reaffirming Meta’s dedication to open supply and neighborhood collaboration. Pedro Pedreira, alongside Manos Karpathiotakis and Deblina Gupta, delved into the idea of composability in information administration, showcasing Velox’s versatility and its alignment with Arrow.

Amit Dutta of Meta explored Prestissimo’s batch effectivity at Meta, shedding gentle on the developments made in optimizing information processing workflows. Remus Lazar, VP Information & AI Software program at IBM offered Velox’s journey inside IBM and imaginative and prescient for its future. Aditi Pandit of IBM adopted with insights into Prestissimo’s integration at IBM, highlighting function enhancements and future plans.

The afternoon classes had been equally insightful, with Jimmy Lu of Meta unveiling the newest optimizations and options in Velox. Whereas Binwei Yang of Intel mentioned the mixing of Velox with the Apache Gluten venture, emphasizing its international affect. Engineers from Pinterest and Microsoft shared their experiences of unlocking information question efficiency through the use of Velox and Gluten, showcasing tangible efficiency positive factors.

The day concluded with classes from Meta on Velox’s reminiscence administration by Xiaoxuan Meng and a glimpse into the brand new easy aggregation operate interface that was offered by Wei He.

Day 2 highlights

The second day started with a keynote from Orri Erling, co-creator of Velox. He shared insights into Velox Wave and Accelerators, showcasing its potential for acceleration. Krishna Maheshwari from NeuroBlade highlighted their collaboration with the Velox neighborhood, introducing NeuroBlade’s SPU (SQL Processing Unit) and its transformative affect on Velox’s computational pace and effectivity.

Sergei Lewis from Rivos explored the potential of offloading work to accelerators to boost Velox’s pipeline efficiency. William Malpica and Amin Aramoon from Voltron Information launched Theseus, a composable, scalable, distributed information analytics engine, utilizing Velox as a CPU backend.

Yoav Helfman from Meta unveiled Nimble, a cutting-edge columnar file format that’s designed to boost information storage and retrieval. Pedro Pedreira and Sridhar Anumandla from Meta elaborated on Velox’s new technical governance mannequin, emphasizing its significance in guiding the venture’s improvement sustainability.

The day additionally featured classes on Velox’s I/O optimizations by Deepak Majeti from IBM, methods for safeguarding in opposition to Out-Of-Reminiscence (OOM) kills by Vikram Joshi from ComputeAI, and a hands-on demo on debugging Velox functions by Deepak Majeti.

What’s subsequent with Velox

VeloxCon 2024 was a testomony to the colourful ecosystem surrounding the Velox venture, showcasing groundbreaking improvements and fostering collaboration amongst trade leaders and builders alike. The convention offered attendees with helpful insights, sensible information, and networking alternatives, solidifying Velox’s place as a number one open supply venture within the information administration ecosystem.

When you’re taken with studying extra and becoming a member of the Velox neighborhood, listed below are some sources to get began:

Keep tuned for extra updates and developments from the Velox neighborhood, as we proceed to push the boundaries of knowledge administration and speed up innovation collectively.

Strive Presto with a free trial of watsonx.information

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Chair, Presto Neighborhood Group and Neighborhood at IBM



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